{"title":"基于Lyapunov稳定性分析的惯性权值选择策略","authors":"Weibing Fan, Z. Cui, J. Zeng","doi":"10.1109/HIS.2009.316","DOIUrl":null,"url":null,"abstract":"In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Inertia Weight Selection Strategy Based on Lyapunov Stability Analysis\",\"authors\":\"Weibing Fan, Z. Cui, J. Zeng\",\"doi\":\"10.1109/HIS.2009.316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.\",\"PeriodicalId\":414085,\"journal\":{\"name\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIS.2009.316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Ninth International Conference on Hybrid Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2009.316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Inertia Weight Selection Strategy Based on Lyapunov Stability Analysis
In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.
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